Identification Of Proteins Research Articles

Mass Spectrometry-Based Proteomics for Assessing Epitranscriptomic Regulations.

Epitranscriptomics is a rapidly evolving field that explores chemical modifications in RNA and how they contribute to dynamic and reversible regulations of gene expression. These modifications, for example, N6-methyladenosine (m6A), are crucial in various RNA metabolic processes, including splicing, stability, subcellular localization, and translation efficiency of mRNAs. Mass spectrometry-based proteomics has become an indispensable tool in unraveling the complexities of epitranscriptomics, offering high-throughput, precise protein identification, and accurate quantification of differential protein expression. Over the past two decades, advances in mass spectrometry, including the improvement of high-resolution mass spectrometers and innovative sample preparation methods, have allowed researchers to perform in-depth analyses of epitranscriptomic regulations. This review focuses on the applications of bottom-up proteomics in the field of epitranscriptomics, particularly in identifying and quantifying epitranscriptomic reader, writer, and eraser (RWE) proteins and in characterizing their functions, posttranslational modifications, and interactions with other proteins. Together, by leveraging modern proteomics, researchers can gain deep insights into the intricate regulatory networks of RNA modifications, advancing fundamental biology, and fostering potential therapeutic applications.

Identification of novel proteins in inflammatory bowel disease based on the gut-brain axis: a multi-omics integrated analysis

BackgroundThe gut-brain axis has garnered increasing attention, with observational studies suggesting its involvement in the disease activity and progression of inflammatory bowel disease (IBD), but the precise mechanisms remain unclear.Materials and methodsIn this study, we aimed to investigate “novel proteins” underlying IBD in the brain using a comprehensive multi-omics analysis approach. We performed integrated analyses of proteomics and transcriptomics in the human prefrontal cortex (PFC) tissue, coupled with genome-wide association studies (GWAS) of IBD, crohn’s disease (CD), and ulcerative colitis (UC). This included performing protein-wide association studies (PWAS), transcriptome-wide association studies (TWAS), Mendelian randomization (MR), and colocalization analysis to identify brain proteins associated with IBD and its subtypes.ResultsPWAS analyses identified and confirmation 9, 9, and 6 brain proteins strongly associated with IBD, CD, and UC, respectively. Subsequent MR analyses revealed that increased abundance of GPSM1, AUH, TYK2, SULT1A1, and FDPS, along with corresponding gene expression, led to decreased risk of IBD. For CD, increased abundance of FDPS, SULT1A1, and PDLIM4, along with corresponding gene expression, also decreased CD risk. Regarding UC, only increased abundance of AUH, along with corresponding gene expression, was significantly associated with decreased UC risk. Further TWAS and colocalization analyses at the transcriptome level supported strong associations of SULT1A1 and FDPS proteins with reduced risk of IBD and CD.ConclusionThe two “novel proteins,” SULT1A1 and FDPS, are strongly associated with IBD and CD, elucidating their causal relationship in reducing the risk of IBD and CD. This provides new clues for identifying the pathogenesis and potential therapeutic targets for IBD and CD.

Identification and quantitation of monoclonal proteins in polyclonal hypergammaglobulinemia background: a retrospective study

Abstract Background Hypergammaglobulinemia poses a challenge for identifying and quantitating monoclonal proteins (M-protein). The Increased polyclonal immunoglobulin background can lead to imprecise estimation of the M-protein when quantitated by serum protein electrophoresis (SPEP). This is especially true using the perpendicular drop method of peak integration. Hypergammaglobulinemia also makes it difficult to detect small M-proteins on immunofixation electrophoresis. Overestimation of M-protein concentration can lead to unnecessary follow-ups while missing small M-proteins can mask the underlying diagnosis for patients. In this study, we retrospectively evaluated the prevalence and concentration of M-protein within polyclonal hypergamma backgrounds using immunocapture matrix-assisted laser desorption ionization time-of-flight mass-spectrometry (MASS-FIX). Methods We retrospectively analyzed 47061 unique patients tested for SPEP and MASS-FIX in 2022 at Mayo Clinic. If a patient underwent multiple tests during this period, only the first result was included in the analysis. Polyclonal hypergammaglobulinemia was defined as a gamma fraction >1.7g/dL by SPEP. MASS-FIX was used to identify and isotype M-proteins. MASS-FIX was then combined with total immunoglobin quantitation (IgG, IgA or IgM) using nephelometry to quantify concentration of the M- protein using mathematical modeling (method currently under validation). Results Of the 47,061 unique patients, 24,796 were normal by SPEP (53%). M-spikes were present in 5,808 cases (12%). Hypogammaglobulinemia (gamma fraction < 0.5g/dL) in 2897 cases (6%). Small non-quantifiable M-proteins by SPEP were present in 8363 cases (18%). [JC2] There were 4222 hypergamma cases in the cohort (9%), without a quantitative M-spike on SPEP. Of these, 16.1% (680/4222) patients had an M-protein by MASS-FIX. When polyclonal hypergamma was the sole SPEP abnormality, 5.5% were MASS-FIX positive. However, when a small abnormality pattern was observed within the polyclonal hypergamma background on SPEP, 50% of patients were MASS-FIX positive. The most common isotype was IgG (27.2%), followed by IgM (10.2%), IgA (8.1%), and biclonal (3.7%), which is similar to overall isotype distribution in other backgrounds. Using quantitative MASS-FIX, we identified that 95% MASS-FIX positive small monoclonal proteins in polyclonal hypergamma are < 1 g/dL, which is the recommended limited of quantitation for M-protein using SPEP in setting of hypergammaglobulinemia. Conclusion Majority of polyclonal hypergammaglobulinemia cases (83.9%) do not have a monoclonal protein. MASS-FIX allows quantitation of small monoclonal proteins below the SPEP limit of quantitation, which can enhance our understanding of conditions which present with small M-proteins in a polyclonal hypergammaglobulinemia background. Small visual abnormalities within polyclonal hypergamma background on SPEP should be followed-up with immunofixation or MASS-FIX to confirm the presence or absence of M- proteins.

Acute GARP depletion disrupts vesicle transport, leading to severe defects in sorting, secretion, and O-glycosylation.

The GARP complex is an evolutionarily conserved protein complex proposed to tether endosome-derived vesicles at the trans-Golgi network. While prolonged depletion of GARP leads to severe trafficking and glycosylation defects, the primary defects linked to GARP dysfunction remain unclear. In this study, we utilized the mAID degron strategy to achieve rapid degradation of VPS54 in human cells, acutely disrupting GARP function. This resulted in the partial mislocalization and degradation of a subset of Golgi-resident proteins, including TGN46, ATP7A, TMEM87A, CPD, C1GALT1, and GS15. Enzyme recycling defects led to the early onset of O-glycosylation abnormalities. Additionally, while the secretion of fibronectin and cathepsin D was altered, mannose-6-phosphate receptors were largely unaffected. Partial displacement of COPI, AP1, and GGA coats caused a significant accumulation of vesicle-like structures and large vacuoles. Electron microscopy detection of GARP-dependent vesicles, along with the identification of specific cargo proteins, provides direct experimental evidence of GARP's role as a vesicular tether. We conclude that the primary defects of GARP dysfunction involve vesicular coat mislocalization, accumulation of GARP-dependent vesicles, degradation and mislocalization of specific Golgi proteins, and O-glycosylation defects.

Identification of DLK1, a Notch ligand, as an immunotherapeutic target and regulator of tumor cell plasticity and chemoresistance in adrenocortical carcinoma.

Immunotherapeutic targeting of cell surface proteins is an increasingly effective cancer therapy. However, given the limited number of current targets, the identification of new surface proteins, particularly those with biological importance, is critical. Here, we uncover delta-like non-canonical Notch ligand 1 (DLK1) as a cell surface protein with limited normal tissue expression and high expression in multiple refractory adult metastatic cancers including small cell lung cancer (SCLC) and adrenocortical carcinoma (ACC), a rare cancer with few effective therapies. In ACC, ADCT-701, a DLK1 targeting antibody-drug conjugate (ADC), shows potent in vitro activity among established cell lines and a new cohort of patient-derived organoids as well as robust in vivo anti-tumor responses in cell line-derived and patient-derived xenografts. However, ADCT-701 efficacy is overall limited in ACC due to high expression and activity of the drug efflux protein ABCB1 (MDR1, P-glycoprotein). In contrast, ADCT-701 is extremely potent and induces complete responses in DLK1 + ACC and SCLC in vivo models with low or no ABCB1 expression. Genetic deletion of DLK1 in ACC dramatically downregulates ABCB1 and increases ADC payload and chemotherapy sensitivity through NOTCH1-mediated adrenocortical de-differentiation. Single cell RNA-seq of ACC metastatic tumors reveals significantly decreased adrenocortical differentiation in DLK low or negative cells compared to DLK1 positive cells. This works identifies DLK1 as a novel immunotherapeutic target that regulates tumor cell plasticity and chemoresistance in ACC. Our data support targeting DLK1 with an ADC in ACC and neuroendocrine neoplasms in an active first-in-human phase I clinical trial ( NCT06041516 ).

GingisREX: A Complementary Enzyme for the Detection of Bacterial Proteins.

Reliable enzymatic digestion underscores successful mass-spectrometry-based proteomics experiments. In this study, we compare the use of the arginine-specific protease, GingisREX, against a more traditional approach in the identification of Escherichia coli proteins. An increased number of protein identifications were noted when GingisREX was used compared to a trypsin/lys-C mixture. This improvement was attributed to the generation of fewer peptides per protein, resulting in a simpler peptide mixture. Furthermore, GingisREX exhibited increased digestion efficiency, fewer missed cleavages, and improved MS/MS data quality for higher molecular weight peptides. The data here establish GingisREX to be a protease complementary to trypsin for enhanced detection of bacterial proteins. With further optimization, GingisREX could prove to be an effective alternative to trypsin for identifying host cell proteins in biotherapeutics.

Classification of amyloidosis and protein misfolding disorders in animals 2024: A review on pathology and diagnosis.

Amyloidosis is a group of diseases in which proteins become amyloid, an insoluble fibrillar aggregate, resulting in organ dysfunction. Amyloid deposition has been reported in various animal species. To diagnose and understand the pathogenesis of amyloidosis, it is important to identify the amyloid precursor protein involved in each disease. Although 42 amyloid precursor proteins have been reported in humans, little is known about amyloidosis in animals, except for a few well-described amyloid proteins, including amyloid A (AA), amyloid light chain (AL), amyloid β (Aβ), and islet amyloid polypeptide-derived amyloid. Recently, several types of novel amyloidosis have been identified in animals using immunohistochemistry and mass spectrometry-based proteomic analysis. Certain species are predisposed to specific types of amyloidosis, suggesting a genetic background for its pathogenesis. Age-related amyloidosis has also emerged due to the increased longevity of captive animals. In addition, experimental studies have shown that some amyloids may be transmissible. Accurate diagnosis and understanding of animal amyloidosis are necessary for appropriate therapeutic intervention and comparative pathological studies. This review provides an updated classification of animal amyloidosis, including associated protein misfolding disorders of the central nervous system, and the current understanding of their pathogenesis. Pathologic features are presented together with state-of-the-art diagnostic methods that can be applied for routine diagnosis and identification of novel amyloid proteins in animals.

Identification of key proteins in early-onset Alzheimer's disease based on WGCNA.

Early-onset Alzheimer's disease (EOAD) is sporadic, highly heterogeneous, and its underlying pathogenic mechanisms remain largely elusive. Proteomics research aims to uncover the biological processes and key proteins involved in disease progression. However, no proteomic studies to date have specifically focused on EOAD brain tissue. We integrated proteomic data from brain tissues of two Alzheimer's disease (AD) cohorts and constructed a protein co-expression network using weighted gene co-expression network analysis (WGCNA). We identified modules associated with EOAD, conducted functional enrichment analysis to understand the biological processes involved in EOAD, and pinpointed potential key proteins within the core modules most closely linked to AD pathology. In this study, we identified a total of 2,749 proteins associated with EOAD. Through protein co-expression network analysis, we discovered 41 distinct co-expression modules. Notably, the proteins within the core module most closely linked to AD pathology were significantly enriched in neutrophil degranulation. Additionally, we identified two potential key proteins within this core module that have not been previously reported in AD and validated their expression levels in 5xFAD mice. In summary, through a protein co-expression network analysis, we identified EOAD-related biological processes and molecular pathways, and screened and validated two key proteins, ERBB2IP and LSP1. These proteins may play an important role in the progression of EOAD, suggesting they could serve as potential therapeutic targets for the disease.

Molecular model of a bacterial flagellar motor in situ reveals a "parts-list" of protein adaptations to increase torque.

One hurdle to understanding how molecular machines work, and how they evolve, is our inability to see their structures in situ . Here we describe a minicell system that enables in situ cryogenic electron microscopy imaging and single particle analysis to investigate the structure of an iconic molecular machine, the bacterial flagellar motor, which spins a helical propeller for propulsion. We determine the structure of the high-torque Campylobacter jejuni motor in situ, including the subnanometre-resolution structure of the periplasmic scaffold, an adaptation essential to high torque. Our structure enables identification of new proteins, and interpretation with molecular models highlights origins of new components, reveals modifications of the conserved motor core, and explain how these structures both template a wider ring of motor proteins, and buttress the motor during swimming reversals. We also acquire insights into universal principles of flagellar torque generation. This approach is broadly applicable to other membrane-residing bacterial molecular machines complexes.

Essential Protein Identification in Cancer: A Graph-Based Approach Integrating Topological and Biological Features in PPI Networks

Essential Protein Identification in Cancer: A Graph-Based Approach Integrating Topological and Biological Features in PPI Networks

Carrier-Guided Proteome Analysis in a High Protein Background: An Improved Approach to Host Cell Protein Identification.

Many shotgun proteomics experiments are negatively influenced by highly abundant proteins, such as those measuring residual host cell proteins (HCP) amidst highly abundant recombinant biotherapeutic or plasma proteins amidst albumin and immunoglobulins. While western blotting and ELISAs can reveal the presence of specific low abundance proteins from highly abundant background proteins, mass spectrometry approaches are required to define the low abundance protein composition in these scenarios. The challenge in detecting low abundance proteins in a high protein background by standard shotgun approaches is that spectra are often not triggered on their peptides in data dependent acquisition methods but rather on the highly abundant background peptides. Here, we use tandem mass tags (TMT) to introduce a carrier proteome approach to enhance the detection of proteins, such as from residual host cell proteomes amidst a highly abundant background. Using a mixture of bovine serum albumin (BSA) and E. coli as a mock high background/low abundance target protein formulation, we demonstrate proof-of-principle experiments allowing the improved detection of target proteins amidst a high protein background. While we observed significant coisolation interference, we mitigated it by using a spike-in interference detection TMT channel. Finally, we use the approach to identify 300 residual E. coli proteins from a protein A pulldown of a human IgG antibody, demonstrating that it may be applicable to analysis of HCPs in biotherapeutic protein formulations.

Seeding Aggregation Assays in Lewy Bodies Disorders: A Narrative State-of-the-Art Review

Multiple system atrophy and Lewy body diseases (LBDs) such as Parkinson’s disease, dementia with Lewy bodies, and Parkinson’s disease with dementia, known as synucleinopathies, are defined neuropathologically by the accumulation and deposition of aberrant protein aggregates, primarily in neuronal cells. Seeding aggregation assays (SAA) have significant potential as biomarkers for early diagnosis, monitoring disease progression, and evaluating treatment efficacy for these diseases. Real-time quaking-induced conversion (RT-QuIC) and Protein Misfolding Cyclic Amplification (PMCA) assays represent two ultrasensitive protein amplification techniques that were initially tested for the field of prion disorders. Although the fundamental idea behind the creation of these two methods is very similar, their technical differences resulted in different levels of diagnostic accuracy for the identification of prion proteins, making the RT-QuIC assay the most trustworthy and effective instrument for the detection of suspected cases of LBDs and prion-like diseases.

Modulation of Autophagy-Lysosome Axis by African Swine Fever Virus and Its Encoded Protein pEP153R.

The autophagy-lysosome axis is an evolutionarily conserved intracellular degradation pathway which constitutes an important component of host innate immunity against microbial infections. Here, we show that African swine fever virus (ASFV), one of most devastating pathogens to the worldwide swine industry, can reshape the autophagy-lysosome axis by recruiting the critical lysosome membrane proteins (LAMP1 and LAMP2) to viral factories while inhibiting autophagic induction in macrophages. The screening of viral membrane proteins led to the identification of several ASFV membrane proteins, exemplified by viral protein pEP153R, that could significantly alter the subcellular localization of LAMP1/2 when expressed alone in transfected cells. Further analysis showed that pEP153R was also a component of viral factories and could induce endoplasmic reticulum (ER) retention of LAMP1/2, leading to the inhibition of the fusion of autophagosomes with lysosomes. Interestingly, the ASFV mutant lacking EP153R could still actively recruit LAMP into viral factories (VFs) and inhibit autophagic flux, indicating the existence of a functional redundancy of other viral proteins in the absence of pEP153R and highlighting the complexity of ASFV replication biology. Taken together, our results reveal novel information about the interplay of ASFV with the autophagy-lysosome axis and a previously unrecognized function of ASFV protein pEP153R in regulating the cellular autophagic process.

Identification of Potential Growth-Related Proteins in Chick Vitreous during Emmetropization Using SWATH-MS and Targeted-Based Proteomics (MRMHR).

The vitreous humor (VH) is a transparent gelatin-like substance that occupies two-thirds of the eyeball and undergoes the most significant changes during eye elongation. Quantitative proteomics on the normal growth period in the VH could provide new insights into understanding its progression mechanism in the early stages of myopia. In this study, a data-independent acquisition (SWATH-MS) was combined with targeted LC-ESI-MS/MS to identify and quantify the relative protein changes in the vitreous during the normal growth period (4, 7, 14, 21 and 28 days old) in the chick model. Chicks were raised under normal growing conditions (12/12 h Dark/light cycle) for 28 days, where ocular measurements, including refractive and biometric measurements, were performed on days 4 (baseline), 7, 14, 21 and 28 (n = 6 chicks at each time point). Extracted vitreous proteins from individual animals were digested and pooled into a left eye pool and a right pool at each time point for protein analysis. The vitreous proteome for chicks was generated using an information-dependent acquisition (IDA) method by combining injections from individual time points. Using individual pool samples, SWATH-MS was employed to quantify proteins between each time point. DEPs were subsequently confirmed in separate batches of animals individually on random eyes (n = 4) using MRMHR between day 7 and day 14. Refraction and vitreous chamber depth (VCD) were found to be significantly changed (p < 0.05, n = 6 at each time point) during the period. A comprehensive vitreous protein ion library was built with 1576 non-redundant proteins (22987 distinct peptides) identified at a 1% false discovery rate (FDR). A total of 12 up-regulated and 26 down-regulated proteins were found across all time points compared to day 7 using SWATH-MS. Several DEPs, such as alpha-fetoprotein, the cadherin family group, neurocan, and reelin, involved in structural and growth-related pathways, were validated for the first time using MRMHR under this experimental condition. This study provided the first comprehensive spectral library of the vitreous for chicks during normal growth as well as a list of potential growth-related protein biomarker candidates using SWATH-MS and MRMHR during the emmetropization period.

Proteomic and Transcriptomic Profiling Revealed Vital Molecular Events in the Transition from Goat Colostrum to Mature Milk.

As an important nutrient source in large areas of the world, goat milk is favored by more and more consumers; however, the composition, nutritional value, and regulation mechanism of goat milk are not fully characterized. Mammary gland development is as important as detailed annotation of protein composition to address the physiological and nutritional values of goat milk. In the present study, 4353 colostrum and mature goat milk proteins were identified. The abundance of 118 proteins was significantly different between colostrum and mature milk proteins. Our results indicate that the milk protein changes were associated with a network of mammary gene expression changes; importantly, the prime factors include enhanced mammary growth/development, decreased protein translation, attenuated protein folding, and lower lip/carbohydrate metabolism. The present study provides insights into the changes in mammary metabolisms during the transition from colostrum to mature milk, which can help deeply explore the difference and regulation mechanism of active milk protein in colostrum and mature milk and provide references for the identification and functional study of bioactive milk proteins in colostrum.

Identification of function modules in the co-expression protein–protein interaction network of Bombyx mori in response to Beauveria bassiana infection

Beauveria bassiana (B. bassiana) is a common fungal disease in sericulture. Previous research has primarily focused on investigating genes involved in innate immunity. However, the response of Bombyx mori (B. mori) to B. bassiana requires the coordination of other biological processes in addition to the immune system. We measured protein expression profile of B. mori after inoculating B. bassiana using iTRAQ technology in previous. Here we constructed a co-expression protein–protein interaction network of B. mori in response to B. bassiana infection. Subnetworks and modules were analyzed, and the functions of these modules were annotated. The results revealed the identification of numerous proteins associated with cellular immunity, including those involved in phagosomes, lysosomes, mTOR signaling, sugar metabolism, and the ubiquitin–proteasome pathway. Meanwhile, we observed that the pathways involved in protein synthesis were activated, including pyruvate and purine metabolism, RNA transport, ribosome, protein processing in endoplasmic reticulum, and protein export pathways, during B. bassiana infection. Based on this analysis, we selected six candidate genes (shock protein, ribosome, translocon, actin muscle-type A2, peptidoglycan recognition protein, and collagenase) that were found to be related to the response to B. bassiana. Further verification experiments demonstrated significant changes in their expression levels after inoculation with B. bassiana. These research findings provide new insights into the molecular mechanism of insect immune response to fungal infection.

B-057 Evaluating the Use of Unconcentrated Urine for Protein Electrophoresis and Immunofixation: An Alternative Approach for Efficient Analysis

Abstract Background Protein electrophoresis is a widely employed technique for separating and analyzing proteins based on their charge and size. Traditionally, concentrated urine samples have been utilized to enhance protein detection sensitivity. However, this study explores the feasibility of using unconcentrated urine as an alternative sample type for protein electrophoresis (UEL) and immunofixation (UIF) to streamline the analysis process and reduce costs and turnaround time in clinical laboratories. It offers a more efficient and resource-friendly alternative. Methods Both UEL and UIF were performed on routinely ordered 80 urine specimens (random or 24 Hr.) for patient management and performed by both concentrated (X40) by Helena and unconcentrated using Sebia (HYDRAGEL 9IF gels using HYDRAGEL BJ dynamic mask procedure. The electrophoretic patterns obtained from unconcentrated urine were compared with those from concentrated urine. Various electrophoretic parameters, including resolution, sensitivity, and reproducibility, were evaluated to determine the reliability of unconcentrated urine in protein electrophoresis. In addition, retrospective analysis was performed before and after implementation on all urine specimens ordered to analyze if there were any differences in the monoclonal band distributions in the population. Results All the protein concentrations were correlated well with 95-100% agreement between the methods (Figure 1) clear separation of protein fractions. Serial dilution studies of monoclonal band analyses showed that these bands can be detected at 1.25 mg/dL using an unconcentrated method. Retrospective analysis of patient data before and after the implementation of the new method shows no differences in the identification of monoclonal proteins (Helena [69 of 872 total patients tested (8.0%)] vs. Sebia [90/800 (11.0%)]. Conclusions These results indicate that unconcentrated urine can be successfully utilized for UEL and UIF with comparable outcomes to traditional concentrated samples. Utilizing unconcentrated urine simplifies the sample preparation process and presents a promising alternative.

B-255 Identification of the protein expression of Androgen Receptor variants using Targeted proteomics in clinical Castration Resistant Prostate Cancer models

Abstract Background Castration Resistant Prostate Cancer (CRPC) is a treatment resistant form of prostate cancer (PCa). Currently, there is not a way to identify which patients will develop this resistance before full blown CRPC develops. Therefore, all PCa treatment approaches are similar yet this results in tumor regression in some cases and progression in others. Targeting the androgen receptor (AR) is still the main focus of current therapies even in CRPC. Emergence of AR splice variants (AR-Vs) after initial treatment is thought to be one of the primary mechanisms of resistance. AR-Vs lack the ligand binding domain rendering Androgen Deprivation Therapy (ADT) ineffective in tumors expressing these variants. Recent work has identified the DNA and RNA species of ARVs in CRPC but investigation into whether the protein is translated are unknown. One exception is the approval of an antibody test that detects a specific AR-v, AR-v7, from the blood of PC patients and predicts ADT response. However, there are instances where a patient may not express ARv7 and are still resistant to ADT. This may suggest that other AR-Vs, not currently detected at the protein level, are important predictors for ADT response. Methods The primary goal of this work is to expand the protein identification of known and unknown AR-Vs that may predict response to ADT using targeted liquid chromatography tandem mass spectrometry (LC-MS/MS). We developed the AR-V targeted LC-MS/MS assay by first designing AR splice variants from unique splice regions via RNA-guided sequences translated to amino acid sequences. The AR-variants full amino acid sequences were then in-silico trypsin digested using Expasy software tool that generated tryptic peptides. Blast analysis of the AR-V peptides was performed where no overlap with other human proteins was observed. These AR-V peptide sequences were commercially synthesized along with heavy isotopically analogs to be used as internal standards in the LC-MS/MS method. The method examined 9 peptides and included 2 to 3 MRM transitions per peptide and calibration curves were constructed using unlabeled peptides. Specimens examined consisted of a panel of PCa cell lines (n= 6), CRPC patient derived xenografts tumors (PDX) (n=4) and a negative control cell line (no androgen receptor expression), Cos-1, which served with a dual function and was used as matrix for peptide MRM optimization experiments. Linearity and sensitivity for each peptide included in the method was examined using calibration curves. Results The targeted MRM approached was successfully achieved for the quantification of 9 peptides from 8 proteins in 6 PCa cell lines and 4 PDX tumor specimens. Out of the 8 proteins evaluated, we observed 3 known targets (AR-exon1, AR-V7 and AR-V12) and 4 novel AR-Vs in 22Rv1 PCa cell lines. Additionally, CRPC PDX were assessed where 3 novel AR-Vs were detected. Conclusions These preliminary results using a LC-MS/MS platform show promising identification and quantification of novel AR-Vs that have not been measured before at the protein level. Subsequent analysis of larger cohorts will further elucidate AR-Vs role in PCa treatment resistance mechanisms and possibly assist in future treatment approaches.

Identification of proteins' expression pathway and the effective miRNAs for the treatment of human papillomavirus-induced cervical cancer: in-silico analyses-experimental research.

Cervical cancer is the fourth most common cancer in women. The risk factors for cervical cancer include human papillomavirus (HPV) infection, age, smoking, number of pregnancies, use of oral contraceptives, and diet. However, long-term HPV infection appears to be the main risk factor for developing cervical cancer. This in-silico analysis aims to identify the expression network of proteins and the miRNAs that play a role in the development of HPV-induced cervical cancer. The critical proteins and miRNAs were extracted using the DisGeNET and miRBase databases. String and Gephi were applied to the network analysis. The GTEx web tool was utilized to Identify tissue expression levels. The Enrichr website was used to explore the molecular function and pathways of found genes. Ten proteins, TP53, MYC, AKT1, TNF, IL6, EGFR, STAT3, CTNNB1, ESR1, and JUN, were identified as the most critical shared gene network among cervical cancer and HPV. Seven miRNAs were found, including hsa-mir-146a, hsa-mir-27, hsa-mir-203, hsa-mir-126, hsa-mir-145, hsa-mir-944, and hsa-mir-93, which have a common expression in cervical cancer and HPV. Overall, the gene network, including TP53, MYC, AKT1, TNF, IL6, EGFR, STAT3, CTNNB1, ESR1, and JUN, and Also, hsa-mir-145, hsa-mir-93, hsa-mir-203, and hsa-mir-126 can be regarded as a gene expression pathway in HPV-induced cervical cancer.

Mass Spectrometry–Based Proteomics for the Masses: Peptide and Protein Identification in the Hunt Laboratory During the 2000’s

There has been a rapid increase in the number of individuals utilizing mass spectrometry (MS)-based proteomics to study complex biological systems and questions since the start of the 2000's. Building off the advancements in ionization and liquid chromatography scientists continued to push towards technology that would enable in-depth analysis of biological specimen. Donald F Hunt and the Hunt laboratory were major contributors to this effort with their work on improving upon existing Fourier Transform MS, development of electron transfer dissociation, and continued work on ion-ion reactions to improve intact protein analysis. Collaboration with other instrumentation laboratories and instrument companies led to the sharing of technology and eventual commercialization providing greater access. Additionally, the Hunt laboratory spread the gospel of mass spectrometry-based proteomics through collaborations that lasted decades with other scientists who were experts in immunology, cellular signaling, epigenetics, and other fascinating fields. This article attempts to highlight the many contributions of Don and the Hunt laboratory to peptide and protein identification since the year 2000.